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Abstract
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Article Information:
3-Layered Bayesian Model Using in Text Classification
Chang Jiayu and Hao Yujie
Corresponding Author: Chang Jiayu
Submitted: June 23, 2012
Accepted: July 28, 2012
Published: January 21, 2013 |
Abstract:
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Naive Bayesian is one of quite effective classification methods in all of the text disaggregated models. Usually, the computed result will be large deviation from normal, with the reason of attribute relevance and so on. This study embarked from the degree of correlation, defined the node’s degree as well as the relations between nodes, proposed a 3-layered Bayesian Model. According to the conditional probability recurrence formula, the theory support of the 3-layered Bayesian Model is obtained. According to the theory analysis and the empirical datum contrast to the Naive Bayesian, the model has better attribute collection and classify. It can be also promoted to the Multi-layer Bayesian Model using in text classification.
Key words: 3-layered Bayesian model, coefficient of correlation, degree, matrix of correlation, naive Bayesian, , ,
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Cite this Reference:
Chang Jiayu and Hao Yujie, . 3-Layered Bayesian Model Using in Text Classification. Research Journal of Applied Sciences, Engineering and Technology, (03): 986-989.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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